Sample Model Context Protocol Demos FAQs

Question 1

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP facilitates communication between servers and clients, especially in AI/ML applications, for managing context and improving model performance.

Question 2

Do these examples provide containerized deployment options?

Accepted Answer

Yes, several examples offer containerized deployment configurations using Docker and ECS, making them easily deployable.

Question 3

What programming languages are used in the examples?

Accepted Answer

The examples use TypeScript, Python, Java, and Kotlin in conjunction with the Spring AI framework.

Question 4

What AWS services are demonstrated in these examples?

Accepted Answer

These demos showcase integration with Amazon Bedrock, ECS (Elastic Container Service), and PostgreSQL using pgvector for RAG.

Question 5

What does RAG stand for, and how is it implemented?

Accepted Answer

RAG stands for Retrieval-Augmented Generation. These demos implement RAG using PostgreSQL with pgvector for vector embeddings, enhancing the context provided to the AI model.

Sample Model Context Protocol Demos

Acerca de

Características Principales

Casos de Uso